Resolved Python Environment and Dependency Issues

📅 2024-12-18 — Session: Resolved Python Environment and Dependency Issues

🕒 15:20–16:55
🏷️ Labels: Python, Vscode, Error Handling, Automation, Dependency Management
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The primary goal of this session was to resolve various issues related to Python environment setup, dependency conflicts, and error handling in VSCode and other automation scripts.

Key Activities:

• Addressed the ‘pandas’ module not found error by ensuring the correct Python interpreter and installed modules in the conda environment.
• Troubleshooted Python environment setup in VSCode, focusing on interpreter selection.
• Implemented per-email exception handling in an email fetching function to enhance error logging and fallback mechanisms.
• Configured a systemd service to correctly set the Python environment paths.
• Resolved ImportError issues in Python 3.11 related to ‘Sequence’ and importlib.metadata by patching libraries and managing dependencies.
• Enhanced task selection functions with logging and verbose feedback, including emoji usage.
• Debugged task briefing issues related to API downtime and filtering errors.
• Managed Trio library incompatibility with Python 3.11 by upgrading the library.

Achievements:

• Successfully resolved multiple ImportErrors and AttributeErrors in Python 3.11.
• Improved email automation error handling and logging.
• Enhanced Python script execution reliability by configuring systemd and resolving dependency conflicts.
• Developed robust task management functions with enhanced logging and feedback mechanisms.

Pending Tasks:

• Further testing of the email fetching function to ensure robustness across different email servers.
• Continuous monitoring of the systemd service to ensure correct environment configuration.
• Additional exploration of AI and automation strategies for professional network management.